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@article{143370,
        author = {Supriya Sonawane and Yogesh Kumavat and Nachiket Ukande and Pallavi Dube},
        title = {An Ontology Based Text Mining  Method For Result Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {11},
        pages = {75-77},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143370},
        abstract = {An Ontology Based Text Mining Method For Result Analysis is used for performing analysis and operations on result pdf. Text mining is gaining a serious attention due to its ability to automatically discover the knowledge assets buried in unstructured text. In this system we take the result pdf as input.System is used to take a sorted result format.The sorting will be done as per Department,Subject and Student. This system is intended to be used in various universities.All institutes have some basic needs to analyze results of Department ,Student and Subject in particular format.In this system an attempt is made to design a system for students results that make it in analytical format.The main advantage of this system is to get structured and analytical data.Document Annotation Algorithm,Term Extraction Algorithm
and Text Mining algorithms are used.},
        keywords = {Document Annotation,Term Extraction,Text mining.},
        month = {},
        }